Tag Archives: Technology

Megan Nichols
FST Soapbox

Four Influential Technologies Changing Food Manufacturing

By Megan Ray Nichols
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Megan Nichols

Some impressive technologies are not only impacting the food industry right now but will also have a huge impact in the future. As their use grows to be more prevalent, the industry will change to be smarter and more efficient, with continued improvements across the board.

1. AI and Advanced Robotics

While artificial intelligence and advanced robotics are two distinct technologies, they are frequently paired together. AI, and the data it digests, is used to command robots, allowing them to be more precise, more intelligent and more aware.

Most robots on their own are capable of completing only repetitive and clearly defined tasks. Throw something unique into the mix and they’ll either fumble or fail. However, when governed by data-based intelligence solutions like AI or machine learning, those robots become something incredibly advanced.

In the food industry, machinery and robots are leveraged to improve operations, further maintaining quality and efficiency, at affordable costs. They often work alongside human laborers to augment or enhance processes. They come with several unexpected benefits as well, such as much-improved safety for workers, faster and higher product output and consistent, reliable quality.

For example, JBS, one of the world’s largest meatpacking firms, deployed robotic butchers within its plants. The robots were used to slice more challenging meats, which reduced workplace injuries.

2. Automation

Automation stands alongside AI and advanced robotics, even incorporating those technologies to create a streamlined system. As of 2017, 73% of surveyed companies in the food and beverage manufacturing industry either had or were in the process of establishing automation within their facilities.

Many systems are designed to replace or enhance repetitive tasks, boosting their speed and accuracy, to significantly improve output, without incurring a loss in quality. It’s not just about hardware, like swapping a human laborer for a robot. It’s also achieved through software. Think supply chain management solutions that help plan for various events and experiences without human input.

When many of these technologies are used side-by-side, it strengthens their application and usability. As is true of advanced robotics, for example, AI can also be used to create more intelligent automation platforms. Instead of carrying out rote or simple tasks, they can be programmed to react and engage through any number of parameters. The system might slow production, for instance, based on a decrease in product demand. Or, it might swap to an alternate component or ingredient because of a shortage somewhere.

With the right controls and support, automation technologies are game-changing. With the global population growing and demands increasing more with each year, food manufacturers will look to streamline their operations and boost output in any way possible, and automation will be a go-to.

3. Digital Twins

Digital twins in food manufacturing are essentially simulated copies or a virtual representation of a physical system. That definition might seem confusing, but think of it as a clone that can be manipulated for testing and analytics.In other words, it is a twin of the actual system and information, in every sense of the word, albeit one that is more versatile and less vulnerable. It allows manufacturers and distributors to run simulations by feeding specific information into the system to identify patterns, recognize outcomes and much more.

As the systems and controls supporting the field become smarter and more digitized, digital twins in food manufacturing will find their way into product development, testing, post-production, distribution and nearly every other facet of the industry. It will become an integral component to not only understand what’s happening in the market but also for keeping up with the ebb and flow of supply and demand.

4. Blockchain

Even well before the pandemic, people had become much more conscious about the foods they consume. They want to know the origin of their goods and whether they’ve been sourced using safe, healthy and environmentally friendly methods. The problem with such demands is that, until recently, there haven’t been many solutions for increased visibility within the food supply chain.

Growing concerns for health are now a priority, and visibility is an absolute must. Blockchain technology is the answer, providing precisely the kind of visibility, efficiency, controls and collaboration that consumers want.

With this food manufacturing technology in place, someone could trace a head of lettuce back to its initial seeding. They can see who grew the plants and where, and which methods they used to mature the crop. Then, they can follow its journey to the store shelf.

How is such a thing possible? It all has to do with the technology. In its simplest form, Blockchain is a digital ledger or complete and digitized record of a particular data set. The data that goes in is added to something called a block, and as more is added, it is tacked on to the end of that block to create a long, linked record. Every bit of information is visible across the entire chain, hence the name blockchain.

Walmart is using the technology to track potential food contamination outbreaks. It empowers them to not just find the source but also find the many branches involved — like where goods might have been shipped and who may have purchased them.

Food Manufacturing Technology for the Future

While each food manufacturing technology discussed here is incredibly influential and will have a direct impact on the future of the industry, they are not the only solutions making waves. Some additional examples include:

  • Drones and automated delivery vehicles
  • 3-D printing for edible goods
  • Smart or precision agriculture
  • High-tech packaging
  • Smarter waste disposal and recycling

The takeaway is that technology is vastly improving the operational efficiency of the food supply chain, from farmers and manufacturers to the retail stores featuring goods on their shelves. There’s no right or wrong buy-in, as any one of these technologies can be used to streamline separate processes. The biggest challenge will be deciding what to upgrade first, especially when it comes to delivering high-quality, fresh goods in a prompt manner.

Sudip Saha, Future Market Insights
FST Soapbox

Five Trends Defining the Food Industry Post-COVID

By Sudip Saha
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Sudip Saha, Future Market Insights

Food retailers and the entire food and beverage (F&B) industry are now operating very differently than they did some six months ago. The pandemic has brought immense shifts in supply chains, imposed new hazard controls, and—perhaps most importantly—turned consumer preferences upside down.

To accommodate these changes, food manufacturers, retailers, restaurants and others stepped up to innovate and secure the continuity of their services. But now, as many industries begin to drop the notion of ever going back to what once was, it’s time we started thinking about how many of the newly introduced processes will stick around for the long-term.

What will be the main trends defining the food industry as a whole post-COVID?

Learn more about COVID-19 Lessons Learned during a special episode of the 2020 Food Safety Consortium Virtual Conference Series on October 1Adopted Habits Aren’t Going Anywhere

The pandemic brought radical changes to our everyday lives, and it’s clear that many of the newly adopted behaviors won’t disappear overnight. Consumers will continue to rely on grocery retailers to keep them both fed and healthy while expecting minimum disruptions and a high respect for safety regulations—both in terms of handling and the state of delivered products.

Take-home grocery sales grew by 17% between April and July, breaking the record for the fastest period of growth since 1994. Online grocery shopping also gained popularity while managing to engage entirely new demographics. Some 10% of baby boomers now say they would buy more groceries online once the pandemic is over—compared to 34% of Gen Xs and 40% of millennials.

Due to consumer hyper-awareness of safety and sanitation, the whole food industry will continue to be defined by safety practices. Sanitizing common surfaces like keyboards, door handles, tables and chairs regularly will remain the norm. Beyond “manual” rules such as the mandatory use of facemasks, requirements such as regular health checks could boost the adoption of technology across the industry—transforming not only customer-facing interactions but also the processes behind the curtain.

Technology as an Enabler

Every crisis sparks innovation, and the food industry has certainly proved this thesis. Technology has become the ultimate aide, enabling interactions that would otherwise be impossible. These include contactless ordering, payments and pickup—processes that are likely to stick around even beyond COVID-19.

At the same time, the pandemic accelerated the usage of innovations that previously struggled to become mainstream. This includes virtual tipping jars or mobile order-and-pay, such as the options introduced by fast-food giants including McDonald’s, Subway, KFC, and Burger King.

There’s an obvious appetite for F&B companies to further incorporate technology. For example, the Coca-Cola Company is rolling out a touchless fountain experience that can be used with a smartphone for contactless pouring. Heineken, on the other hand, turned to virtual tech to launch a new product—a cardboard topper for multipack beer that will eliminate plastic from millions of cans. With travel restrictions hindering the mobility of engineers, the company leveraged virtual technology to install the new machinery needed at its Manchester-based factory.

But it’s not just solitary innovations; the market has already seen new AI-based technologies that help food businesses better manage risk in their workforce. Food manufacturing, distribution and provision require many different touchpoints; by predicting, monitoring and testing the health and safety of the workers involved in these processes, companies can ensure they keep their operations running, even if another wave of COVID-19 hits. Solutions like these will be crucial when looking to add another layer of safety that goes beyond mandatory governmental regulations.

Food Safety Revamped

Even though COVID-19 is transmitted through airborne respiratory droplets, and the risk of contracting the virus through food is low, people around the world are concerned about the possibility. After all, 40% of people are more careful about washing unpackaged fruit and vegetables than before the pandemic.

The pandemic has already made societies rethink various established concepts, such as wet markets or the consumption of wild animals. The pandemic could, therefore, lead to changed behaviors, and newly imposed rules such as formalizing small and micro food enterprises, provisions for direct sales by farmers, leveraging technology to ensure safety, and investments in a more robust food infrastructure altogether.

Such changes could also irreversibly affect street food—a sector that is bound to feel the hit of COVID-19. Particularly in countries with diverse street food culture, one of the emerging trends will be the rise of gourmet street food brands that can provide both great taste and high hygiene standards.

Food Sustainability to the Forefront

2020 will be a year of reckoning for the world’s food systems. The pandemic exposed the flaws of the global food supply chain that continues to be highly centralized and operating on a just-in-time basis. This is why we have seen panic food runs, urgent supply shortages and high amounts of food waste as many businesses were shut down overnight. In developing countries, several agencies expect that a “hunger pandemic” and a doubling of people starving could happen unless serious action is taken.

As we rethink the underlying principles of the food industry such as safety and supply, other concepts such as transparency and visibility into product sourcing and manufacturing also come into the spotlight. Consumers across the globe are more likely to prioritize offerings that are healthy and locally sourced than they were before COVID-19.

Food produced with the overuse of chemicals in monoculture cropping systems and large-scale animal farming significantly impact the availability of natural resources and cause substantial greenhouse gas emissions. Added to that, practices like industrial animal farming that operate with large numbers of livestock in confined spaces are a breeding ground for viruses, and have been linked to prior outbreaks such as the outbreak of swine flu in 2009. They also enable the spread of antibiotic-resistant organisms due to the common overuse of antibiotics administered to prevent infections caused by cramped living conditions.

Consumers are increasingly aware of this: Nearly 25% of Americans are now eating more plant-based food. As we move forward, diverse food companies are likely to tap into this trend, resulting in great opportunities for plant-based, nutritious, local, and even healthy DIY meals and products. For example, an Australian food producer has recently announced the launch of a new proprietary product range that will offer the first vegan ready-to-drink protein shakes on the Australian market.

A New Way of Dining

The restaurant market has been one of the direct victims of the pandemic but has shown impressive elasticity in adapting to the new realities. Many businesses have introduced service extensions such as deliveries and take-outs, as well as pop-up grocery stores. Enjoying great popularity, some of these options will stick around far beyond the pandemic.

However, there’s a counterforce hindering significant expansion: The simple fact that many consumers discovered a new joy in cooking. A recent study notes that 54% of Americans are now cooking more than they were before the pandemic, with 35% saying that they “enjoy cooking more now than ever.” But at the same time, 33% of consumers say they’re getting more takeout than before the pandemic. This implies that the post-pandemic normal will likely see a shift toward eating at home more often, whether that means cooking or takeout and delivery.

Therefore, restaurants are likely to continue diversifying their services, experiment with food bundles and DIY meal kits, or even luxurious in-home chef visit experiences as an alternative to high-end restaurant dining.

The past crises have shown that economic uncertainty is directly linked to changes in demand for private-label and value brands. After the 2008 financial crisis, 60% of U.S. consumers were more interested in reasonably priced products with core features than in higher-priced, cutting-edge products. So while luxury dining is not completely disappearing, it could take on other aspects.

In Denmark, for example, a two-Michelin star restaurant is moving to serve burgers. In China, a country that many look to as the model for the post-COVID world, there has also been a clear push toward more affordable dining as well. Hot pot and barbecue venues have been thriving, particularly among customers in their 20s and 30s. Many fine dining restaurants, on the other hand, have started offering affordable lunch menus or have cut prices to correspond to the current value-conscious behaviors.

It’s clear that the future of food retail and the F&B industry will be significantly marked by the pandemic. Its prolonged nature will also cause the newly adopted habits to become further solidified—and many processes will adapt to match them. For example, while contactless deliveries were accelerated in the past months, businesses are working hard to make them as efficient as convenient as possible, making it unlikely that such investments would be erased overnight, once COVID-19 is no longer a threat.

Checklist

2020 FSC Episode 2 Wrap Up: Pest Management and How Technology Is Transforming Business

By Maria Fontanazza
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Checklist

Last week we were joined by experts in pest management for Episode 2 of the 2020 Food Safety Consortium Virtual Conference Series. Although pest management may not be seen as the most exciting topic, all food plants are required to have an integrated pest management program. In addition, the digital transformation fast-tracked by COVID-19 is also driving innovation in the remote monitoring of pests.

Barney Debnam, global agriculture strategy lead at Microsoft kicked off the conversation with some key themes driving change within the global food system, which have also been accelerated by COVID: Geopolitical forces, consumerization, democratized biology, sustainability, shifting economics and food security. As technology continues to evolve and is adopted at a faster pace (think artificial intelligence and how accessible it is now), businesses will be able to transform their outcomes by becoming more predictive. The key technology enablers in the process include:

  • Internet of Things and edge computing
  • Advanced analytics
  • Artificial intelligence and cognitive computing
  • Graph technology
  • Blockchain
  • Digital workplace
  • Mixed reality

The most significant benefit of implementing technology such as remote monitoring into an IPM program is its ability to provide visibility and the data to back up what is happening in a facility.

Get access to the presentations and points discussed during this exclusive session by registering for the 2020 Food Safety Consortium Conference Virtual Series. Attendees will have access to upcoming sessions as well as the recordings of all sessions.

Food Safety Consortium

2020 FSC Preview: Pest Management

By Food Safety Tech Staff
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Food Safety Consortium

This week’s episode of the 2020 Food Safety Consortium Virtual Conference Series. features various technologies and strategies in Pest Management. The following are some highlights:

  • Microsoft: IoT, Remote Sensing and the New Paradigm: Current and Future Impact with Barney Debman, Microsoft
  • Fumigation Service and Supply: Service Innovation & Transformation; Dynamic Monitoring with Krista Ankrom, Bayer US Crop Science; Guest appearance by Grant Welton PepsiCo
  • Technology’s Impact on In-house Managed Service and Contracted Services with John Moore, Fumigation Service and Supply
  • Provider Tech Talks from Bayer Digital Pest Management and Insects Limited

The event begins at 12 pm ET. Haven’t registered? Follow this link to the 2020 Food Safety Consortium Virtual Conference Series, which provides access to 14 episodes of critical industry insights from leading subject matter experts! We look forward to your joining us virtually.

Summer of 2020: Hot Topics Include FDA Inspections, Records Retention, and New Technology Era

By Food Safety Tech Staff
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10

Is Food-Grade always Food-Safe?

9

Important Restaurant Food Storage Safety Tips You Need to Know

8

How a History of Slow Technology Adoption Across Food Supply Chains Nearly Broke Us

7

FDA Unveils Blueprint for New Era of Smarter Food Safety

6

FDA, CDC Investigating Multistate Cyclospora Outbreak Involving Bagged Salads

5

COVID-19 Leads Food Companies and Meat Processors to Explore AI and Robotics, Emphasize Sanitation, and Work from Home

4

FDA Announces Inspections Will Resume…Sort Of

3

Sustainability Strategies for the Food Industry

2

Top Three Visibility Challenges in Today’s Food Supply Chain

1

The COVID-19 Record Retention Conundrum

Pratik Soni, Omnichain
Retail Food Safety Forum

Top Three Visibility Challenges in Today’s Food Supply Chain

By Pratik Soni
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Pratik Soni, Omnichain

To say that COVID-19 has been disruptive would be putting it mildly. The pandemic’s sudden and seismic impact has brought major upheaval across industries—the food industry and its supply chain included.

There was the initial panic buying that drove upticks in consumer demand for which few manufacturers and grocers were prepared, resulting in widespread product shortages. With restaurants closed, distributors and suppliers were left with considerable excess inventory—most of which ended up as waste and losses. Inside production sites and plants, many had to try and maintain their output with a reduced workforce, even as demand continued to climb. Meanwhile, some plants unfortunately have had to shut down operations on account of employees testing positive for COVID-19.

In the time since the outbreak, the food supply chain has stabilized to an extent. Store shelves are continuously being replenished with products. Restaurants have started reopening with new health and safety measures. Yet even as the industry takes gradual steps toward recovery, the underlying problem that led to the magnitude of COVID-19’s impact persists: Lack of visibility. There was lack of visibility into supply and demand and what was happening upstream and downstream across the supply chain, which prevented timely, proactive action to optimize operations in face of disruption.

Looking ahead, participants across the food supply chain will need enhanced end-to-end visibility so that they can work together to get ahead of the curve. As part of gaining this visibility, they will need the transparent exchange of information and cohesive collaboration to adapt especially as the food industry continues to see shifts in consumer behavior and the marketplace in the wake of COVID-19—particularly in the following three key areas.

Food Distribution

While food producers have been working tirelessly to keep grocery store shelves and restaurant kitchens well stocked, there continues to be fluctuating availability on certain products, such as eggs, dairy, poultry and meat. This has led distributors and suppliers to increase their prices when selling these goods to stores and restaurants, who have had to then pass the additional costs on to consumers through their own price increases and surcharges, respectively. One report from CoBank, a cooperative bank part of the Farm Credit System, notes there could be as much as a 20% increase in the price of pork and beef this year due to supply issues.1 Many grocers have also implemented purchase limitations on consumers to combat shortages.

These downstream implications stem largely to uncertainty in the supply chain, with stores and restaurants unsure about available supply upstream and when they can expect to receive shipments. But if there was clearer visibility and transparency between production, distribution, transportation, food service and retail, then all parties could better anticipate and plan for supply shortages or delays. For instance, if a meat processing plant has to temporarily close due to cases of COVID-19, they can immediately communicate to the rest of the supply chain so that parties downstream can readily find alternative sources and minimize any necessary price inflations or other implications to consumers.

Consumer Demand

Even with the reopening of restaurants, people will likely choose to cook more of their meals at home. It was a trend that began with restaurant closures and will continue for the foreseeable future as consumers remain cautious of dining out. While this may bring tough times ahead for the food service industry, the grocery sector is seeing a huge lift in business. Research from restaurant management platform Crunchtime shows that, towards the end of June, restaurants were only seeing 64.5% of their pre-COVID-19 sales levels.2 At the same time, a study by Brick Meets Click and Mercatus reveals U.S. online grocery sales reached a record $7.2 billion in June, up nearly 10% over May.3

For food companies and brands, growth in the grocery sector has presented a challenge in the way of demand planning and forecasting. I’ve personally spoken with several company executives who have seen significant upticks in orders from their grocery channel partners—an increase for which they didn’t forecast—and are now struggling to adjust production levels accordingly to avoid the risk of excess production that would lead to unnecessary costs, wastes and losses. In such instances, real-time visibility into transactional activity and stock levels at the retail level would help production planners improve the accuracy of their forecasts and enable them to think steps ahead before orders come in and thereby optimally balance supply with demand. Stores would remain well stocked and the supply chain could flow in a more efficient and profitable way for all participants.

Food Handling

Without question, public health is the number one priority right now. Participants at each point in the food supply chain today need to communicate with each other, as well as to consumers, that they’re following best practices for social distancing, disinfecting and other precautions. It’s not to prevent the possible transfer of the virus via actual products, as the FDA notes there is currently no evidence of transmission through food or packaging. But rather, it’s to build greater confidence in the food supply chain—that everyone is doing their part to support individual and collective health and safety, which in turn prevents possible facility closures or other case-related bottlenecks that would inhibit consistent supply to the market.

There also has to be confidence that, amid these countermeasures for COVID-19, companies are still upholding their commitments to food safety, integrity and proper handling. What can support that confidence is data—shared data from every point in a product’s journey from source to shelf. The data should be transparent and available to all supply chain participants as well as immutable so that it is tamperproof and fully traceable should there be any problem, such as mislabeling or a foodborne illness. The data ultimately holds everyone accountable for their role in ensuring a safe food supply chain.

To achieve the level of visibility outlined above, the food industry will have to break away from legacy processes involving the siloed management of operational systems and databases. Instead, the disruption seen during COVID-19 and ongoing shifts in the marketplace should encourage companies to consider digital transformation and technologies that can enable a more cohesive and nimble food supply chain. These are technologies like blockchain, which provides a decentralized, distributed ledger to publish and share data in real time. Moreover, artificial intelligence that can leverage incoming real-time data to guide next-best actions, even when the unexpected occurs. Personally, I always return to the notion that the supply chain is a team sport. You need visibility to know what each team member is doing on the field and how to align everyone on a gameplay. The digital solutions available today offer that visibility and insight, as well as the agility to pivot as needed to obstacles along the journey from source to shelf.

References

  1. Taylor, K. (May 6, 2020). “The American meat shortage is pushing prices to unprecedented heights — here’s how it could affect your grocery bill.” Business Insider.
  2. Maze, J. (July 7, 2020). “As the coronavirus resurges, restaurant sales start slowing again.” Restaurant Business.
  3. Perez, S. (July 6, 2020). “US online grocery sales hit record $7.2 billion in June.” TechCrunch.
LIMS, Laboratory information management system, food safety

How Advanced LIMS Brings Control, Consistency and Compliance to Food Safety

By Ed Ingalls
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LIMS, Laboratory information management system, food safety

Recent food scandals around the world have generated strong public concerns about the safety of the foods being consumed. Severe threats to food safety exist at all stages of the supply chain in the form of physical, chemical and biological contaminants. The current pandemic has escalated the public’s concern about cross contamination between people and food products and packaging. To eliminate food risks, manufacturers need robust technologies that allow for reliable monitoring of key contaminants, while also facilitating compliance with the ISO 17025 standard to prove the technical competence of food testing laboratories.

Without effective data and process management, manufacturers risk erroneous information, compromised product quality and regulatory noncompliance. In this article, we discuss how implementing a LIMS platform enables food manufacturers to meet regulatory requirements and ensure consumer confidence in their products.

Safeguarding Food Quality to Meet Industry Standards

Food testing laboratories are continually updated about foodborne illnesses making headlines. In addition to bacterial contamination in perishable foods and ingredient adulteration for economic gains, chemical contamination is also on the rise due to increased pesticide use. Whether it is Salmonella-contaminated peanut butter or undeclared horsemeat inside beef, each food-related scandal is a strong reminder of the importance of safeguarding food quality.

Food safety requires both preventive activities as well as food quality testing against set quality standards. Establishing standardized systems that address both food safety and quality makes it easier for manufacturers to comply with regulatory requirements, ultimately ensuring the food is safe for public consumption.

In response to food safety concerns, governing bodies have strengthened regulations. Food manufacturers are now required to ensure bacteria, drug residues and contaminant levels fall within published acceptable limits. In 2017, the ISO 17025 standard was updated to provide a risk-based approach, with an increased focus on information technology, such as the use of software systems and maintaining electronic records.

The FDA issued a notice that by February 2022, food testing, in certain circumstances, must be conducted in compliance with the ISO 17025 standard. This means that laboratories performing food safety testing will need to implement processes and systems to achieve and maintain compliance with the standard, confirming the competence, impartiality and consistent operation of the laboratory.

To meet the ISO 17025 standard, food testing laboratories will need a powerful LIMS platform that integrates into existing workflows and is built to drive and demonstrate compliance.

From Hazard Analysis to Record-Keeping: A Data-Led Approach

Incorporating LIMS into the entire workflow at a food manufacturing facility enables the standardization of processes across its laboratories. Laboratories can seamlessly integrate analytical and quality control workflows. Modern LIMS platforms provide out-of-the-box compliance options to set up food safety and quality control requirements as a preconfigured workflow.

The requirements set by the ISO 17025 standard build upon the critical points for food safety outlined in the Hazard Analysis and Critical Control Points (HACCP) methodology. HACCP, a risk-based safety management procedure, requires food manufacturers to identify, evaluate and address all risks associated with food safety.

LIMS, laboratory information management system
LIMS can be used to visualize control points for HACCP analysis according to set limits. Graphic courtesy of Thermo Fisher Scientific.

The systematic HACCP approach involves seven core principles to control food safety hazards. Each of the following seven principles can be directly addressed using LIMS:

  • Principle 1. Conduct a hazard analysis: Using current and previous data, food safety risks are thoroughly assessed.
  • Principle 2. Determine the critical control points (CCPs): Each CCP can be entered into LIMS with contamination grades assigned.
  • Principle 3. Establish critical limits: Based on each CCP specification, analytical critical limits can be set in LIMS.
  • Principle 4. Establish monitoring procedures: By defining sampling schedules in LIMS and setting other parameters, such as frequency and data visualization, procedures can be closely monitored.
  • Principle 5. Establish corrective actions: LIMS identifies and reports incidents to drive corrective action. It also enables traceability of contamination and maintains audit trails to review the process.
  • Principle 6. Establish verification procedures: LIMS verifies procedures and preventive measures at the defined CCPs.
  • Principle 7. Establish record-keeping and documentation procedures: All data, processes, instrument reports and user details remain secured in LIMS. This information can never be lost or misplaced.

As food manufacturers enforce the safety standards set by HACCP, the process can generate thousands of data points per day. The collected data is only as useful as the system that manages it. Having LIMS manage the laboratory data automates the flow of quality data and simplifies product release.

How LIMS Enable Clear Compliance and Optimal Control

Modern LIMS platforms are built to comply with ISO 17025. Preconfigured processes include instrument and equipment calibration and maintenance management, traceability, record-keeping, validation and reporting, and enable laboratories to achieve compliance, standardize workflows and streamline data management.

The workflow-based functionality in LIMS allows researchers to map laboratory processes, automate decisions and actions based on set criteria, and reduce user intervention. LIMS validate protocols and maintain traceable data records with a clear audit history to remain compliant. Data workflows in LIMS preserve data integrity and provide records, according to the ALCOA+ principles. This framework ensures the data is Attributable, Legible, Contemporaneous, Original and Accurate (ALCOA) as well as complete, consistent and enduring. While the FDA created ALCOA+ for pharmaceutical drug manufacturers, these same principles can be applied to food manufacturers.

Environmental monitoring and quality control (QC) samples can be managed using LIMS and associated with the final product. To plan environmental monitoring, CCPs can be set up in the LIMS for specific locations, such as plants, rooms and laboratories, and the related samples can then be added to the test schedule. Each sample entering the LIMS is associated with the CCP test limits defined in the specification.

Near real-time data visualization and reporting tools can simplify hazard analysis. Managers can display information in different formats to monitor critical points in a process, flag unexpected or out-of-trend numbers, and immediately take corrective action to mitigate the error, meeting the requirements of Principles 4 and 5 of HACCP. LIMS dashboards can be optimized by product and facility to provide visibility into the complete process.

Rules that control sampling procedures are preconfigured in the LIMS along with specific testing rules based on the supplier. If a process is trending out of control, the system will notify laboratory personnel before the product fails specification. If required, incidents can be raised in the LIMS software to track the investigation of the issue while key performance indicators are used to track the overall laboratory performance.

Tasks that were once performed manually, such as maintaining staff training records or equipment calibration schedules, can now be managed directly in LIMS. Using LIMS, analysts can manage instrument maintenance down to its individual component parts. System alerts also ensure timely recalibration and regular servicing to maintain compliance without system downtime or unplanned interruptions. The system can prevent users from executing tests without the proper training records or if the instrument is due for calibration or maintenance work. Operators can approve and sign documents electronically, maintaining a permanent record, according to Principle 7 of HACCP.

LIMS allow seamless collaboration between teams spread across different locations. For instance, users from any facility or even internationally can securely use system dashboards and generate reports. When final testing is complete, Certificates of Analysis (CoAs) can be autogenerated with final results and showing that the product met specifications. All activities in the system are tracked and stored in the audit trail.

With features designed to address the HACCP principles and meet the ISO 17025 compliance requirements, modern LIMS enable manufacturers to optimize workflows and maintain traceability from individual batches of raw materials all the way through to the finished product.

Conclusion

To maintain the highest food quality and safeguard consumer health, laboratories need reliable data management systems. By complying with the ISO 17025 standard before the upcoming mandate by the FDA, food testing laboratories can ensure data integrity and effective process management. LIMS platforms provide laboratories with integrated workflows, automated procedures and electronic record-keeping, making the whole process more efficient and productive.

With even the slightest oversight, food manufacturers not only risk product recalls and lost revenue, but also losing the consumers’ trust. By upholding data integrity, LIMS play an important role in ensuring food safety and quality.

Are Traasdahl, Crisp
FST Soapbox

How a History of Slow Technology Adoption Across Food Supply Chains Nearly Broke Us

By Are Traasdahl
1 Comment
Are Traasdahl, Crisp

The COVID-19 crisis has exacerbated existing disconnects between food supply and demand. While some may be noticing these issues on a broader scale for the first time, the reality is that there have been challenges in our food supply chains for decades. A lack of accurate data and information sharing is the core of the problem and had greater impact due to the pandemic. Outdated technologies are preventing advancements and efficiencies, resulting in the paradox of mounting food insecurity and food waste.

To bridge this disconnect, the food industry needs to implement innovative AI and machine learning technologies to prevent shortages, overages and waste as COVID-19 subsides. Solutions that enable data sharing and collaboration are essential to build more resilient food supply chains for the future.

Data-sharing technologies that can help alleviate these problems have been under development for decades, but food supply chains have been slow to innovate compared to other industries. By reviewing the top four data-sharing technologies used in food industry and the year they were introduced to food supply chains, it’s evident that the pace of technology innovation and adoption needs to accelerate to advance the industry.

A History of Technology Adoption in the Food Industry

The Barcode – 19741
We’re all familiar with the barcode—that assemblage of lines translated into numbers and letters conveying information about a product. When a cashier scans a barcode, the correct price pops up on the POS, and the sale data is recorded for inventory management. Barcodes are inexpensive and easy to implement. However, they only provide basic information, such as a product’s name, type, and price. Also, while you can glean information from a barcode, you can’t change it or add information to it. In addition, barcodes only group products by category—as opposed to radio-frequency identification (RFID), which provides a different code for every single item.

EDI First Multi-Industry Standards – 19812
Electronic data interchange (EDI) is just what it sounds like—the concept of sharing information electronically instead of on paper. Since EDI standardizes documents and the way they’re transferred, communication between business partners along the supply chain is easier, more efficient, and human error is reduced. To share information via EDI, however, software is required. This software can be challenging for businesses to implement and requires IT expertise to handle updates and maintenance.

RFID in the Food Supply Chain – 20033
RFID and RFID tags are encoded with information that can be transmitted to a reader device via radio waves, allowing businesses to identify and track products and assets. The reader device translates the radio waves into usable data, which then lands in a database for tracking and analysis.

RFID tags hold a lot more data than barcodes—and data is accessible in remote locations and easily shared along the supply chain to boost transparency and trust. Unlike barcode scanners, which need a direct line of sight to a code, RFID readers can read multiple tags at once from any direction. Businesses can use RFID to track products from producer to supplier to retailer in real time.

In 2003, Walmart rolled out a pilot program requiring 100 of its suppliers to use RFID technology by 2005.3 However, the retail giant wasn’t able to scale up the program. While prices have dropped from 35–40 cents during Walmart’s pilot to just 5 cents each as of 2018, RFID tags are still more expensive than barcodes.4 They can also be harder to implement and configure. Since active tags have such a long reach, businesses also need to ensure that scammers can’t intercept sensitive data.

Blockchain – 20175
A blockchain is a digital ledger of blocks (records) used to record data across multiple transactions. Changes are recorded in real-time, making the history unfalsifiable and transparent. Along the food supply chain, users can tag food, materials, compliance certificates and more with a set of information that’s recorded on the blockchain. Partners can easily follow the item through the physical supply chain, and new information is recorded in real-time.

Blockchain is more secure and transparent, less vulnerable to fraud, and more scalable than technologies like RFID. When paired with embedded sensors and RFID tags, the tech offers easier record-keeping and better provenance tracking, so it can address and help solve traceability problems. Blockchain boosts trust by reducing food falsification and decreasing delays in the supply chain.6

On the negative side, the cost of transaction processing with blockchain is high. Not to mention, the technology is confusing to many, which hinders adoption. Finally, while more transparency is good news, there’s such a thing as too much transparency; there needs to be a balance, so competitors don’t have too much access to sensitive data.

Cloud-Based Demand Forecasting – 2019 to present7
Cloud-based demand forecasting uses machine learning and AI to predict demand for various products at different points in the food supply chain. This technology leverages other technologies on this list to enhance communication across supply chain partners and improve the accuracy of demand forecasting, resulting in less waste and more profit for the food industry. It enables huge volumes of data to be used to predict demand, including past buying patterns, market changes, weather, events and holidays, social media input and more to create a more accurate picture of demand.

The alternative to cloud-based demand forecasting that is still in use today involves Excel or manual spreadsheets and lots of number crunching, which are time-intensive and prone to human error. This manual approach is not a sustainable process, but AI, machine learning and automation can step in to resolve these issues.

Obtaining real-time insights from a centralized, accurate and accessible data source enables food suppliers, brokers, distributors, brands and retailers to share information and be nimble, improving their ability to adjust supply in response to factors influencing demand.8 This, in turn, reduces cost, time and food waste, since brands can accurately predict how much to produce down to the individual SKU level, where to send it and even what factors might impact it along the way.

Speeding Up Adoption

As illustrated in Figure 1, the pace of technology change in the food industry has been slow compared to other industries, such as music and telecommunications. But we now have the tools, the data and the brainpower to create more resilient food supply chains.

Technology adoption, food industry
Figure 1. The pace of technology change in the food industry has been slow compared to other industries. Figure courtesy of Crisp.

Given the inherent connectivity of partners in the food supply chain, we now need to work together to connect information systems in ways that give us the insights needed to deliver exactly the rights foods to the right places, at the right time. This will not only improve consumer satisfaction but will also protect revenue and margins up and down food supply chains and reduce global waste.

References

  1. Weightman, G. (2015). The History of the Bar Code. Smithsonian Magazine.
  2. Locken, S. (2012). History of EDI Technology. EDI Alliance.
  3. Markoff, R, Seifert, R. (2019). RFID: Yesterday’s blockchain. International Institute for Management Development.
  4. Wollenhaupt, G. (2018). What’s next for RFID? Supply Chain Dive.
  5. Tran, S. (2019). IBM Food Trust: Cutting Through the Complexity of the World’s Food Supply with Blockchain. Blockchain News.
  6. Galvez, J, Mejuto, J.C., Simal-Gandara, J. (2018). Future Challenge on the use of blockchain for food traceability analysis. Science Direct.
  7. (2019). Crisp launches with $14.2 million to cut food waste using big data. Venture Beat.
  8. Dixie, G. (2005). The Impact of Supply and Demand. Marketing Extension Guide.
FDA

FDA Unveils Blueprint for New Era of Smarter Food Safety

By Food Safety Tech Staff
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FDA

Today FDA released the New Era for Smarter Food Safety Blueprint. The much-anticipated document was originally scheduled for release in March but was delayed due to the agency’s response to COVID-19. Although the agency’s plan places a lot of focus on the use of new technology, FDA Commissioner Stephen Hahn, M.D., stressed that it is also about enabling more effective methods and processes.

FDA’s Blueprint for the Future breaks down the four core elements of the plan:

  • Tech-Enabled Traceability. A lesson learned during the coronavirus pandemic was that there is a need for greater traceability and visibility in the supply chain. “One of the challenges we’ve faced over the years is recurring outbreaks of illnesses associated with the consumption of certain foods,” said Hahn. “What this daunting problem underscores is the critical importance of the FDA working with industry so that we can rapidly trace a contaminated food to its source. And when I say rapidly, I mean minutes, not days, weeks, or even longer.
  • Smarter Tools and Approaches for Prevention and Outbreak Response. Here, the FDA is emphasizing the “power of data”. “The plans embraced by the blueprint include strengthening our procedures and protocols for conducting the root cause analyses that can identify how a food became contaminated and inform our understanding of how to help prevent that from happening again,” said Hahn.
  • New Business Models and Retail Modernization. This element address food production and delivery, as well as food safety in restaurants and the retail setting.
  • Food Safety Culture. “The pandemic has given us a new perspective on what we mean by food safety culture,” said Hahn. He stated that beyond influencing human behavior, food safety culture must also address worker safety and consumer education.

View the New Era of Smarter Food Safety: FDA’s Blueprint for the Future.